Dataset statistics
| Number of variables | 28 |
|---|---|
| Number of observations | 119390 |
| Missing cells | 129425 |
| Missing cells (%) | 3.9% |
| Duplicate rows | 22 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 24.7 MiB |
| Average record size in memory | 217.0 B |
Variable types
| Categorical | 13 |
|---|---|
| Numeric | 14 |
| Boolean | 1 |
| Dataset has 22 (< 0.1%) duplicate rows | Duplicates |
country has a high cardinality: 177 distinct values | High cardinality |
year_arrival_date is highly correlated with week_number_arrival_date | High correlation |
week_number_arrival_date is highly correlated with year_arrival_date | High correlation |
repeated_guest is highly correlated with num_previous_stays | High correlation |
num_previous_stays is highly correlated with repeated_guest | High correlation |
year_arrival_date is highly correlated with week_number_arrival_date | High correlation |
week_number_arrival_date is highly correlated with year_arrival_date | High correlation |
repeated_guest is highly correlated with num_previous_stays | High correlation |
num_previous_stays is highly correlated with repeated_guest | High correlation |
type is highly correlated with id_travel_agency_booking and 2 other fields | High correlation |
days_between_booking_arrival is highly correlated with id_person_booking | High correlation |
year_arrival_date is highly correlated with month_arrival_date and 1 other fields | High correlation |
month_arrival_date is highly correlated with year_arrival_date and 1 other fields | High correlation |
week_number_arrival_date is highly correlated with year_arrival_date and 2 other fields | High correlation |
num_weekend_nights is highly correlated with num_workweek_nights and 1 other fields | High correlation |
num_workweek_nights is highly correlated with num_weekend_nights | High correlation |
num_children is highly correlated with reserved_room | High correlation |
market_segment is highly correlated with distribution_channel and 3 other fields | High correlation |
distribution_channel is highly correlated with market_segment | High correlation |
num_previous_cancellations is highly correlated with num_previous_stays | High correlation |
num_previous_stays is highly correlated with num_previous_cancellations | High correlation |
reserved_room is highly correlated with num_children and 1 other fields | High correlation |
changes_between_booking_arrival is highly correlated with num_weekend_nights | High correlation |
deposit_policy is highly correlated with market_segment | High correlation |
id_travel_agency_booking is highly correlated with type and 1 other fields | High correlation |
id_person_booking is highly correlated with type and 5 other fields | High correlation |
customer_type is highly correlated with market_segment | High correlation |
avg_price is highly correlated with type and 2 other fields | High correlation |
id_travel_agency_booking has 16340 (13.7%) missing values | Missing |
id_person_booking has 112593 (94.3%) missing values | Missing |
num_previous_cancellations is highly skewed (γ1 = 24.45804872) | Skewed |
num_previous_stays is highly skewed (γ1 = 23.53979995) | Skewed |
days_between_booking_arrival has 6345 (5.3%) zeros | Zeros |
num_weekend_nights has 51998 (43.6%) zeros | Zeros |
num_workweek_nights has 7645 (6.4%) zeros | Zeros |
market_segment has 12606 (10.6%) zeros | Zeros |
num_previous_cancellations has 112906 (94.6%) zeros | Zeros |
num_previous_stays has 115770 (97.0%) zeros | Zeros |
changes_between_booking_arrival has 101314 (84.9%) zeros | Zeros |
avg_price has 1960 (1.6%) zeros | Zeros |
total_of_special_requests has 70318 (58.9%) zeros | Zeros |
Reproduction
| Analysis started | 2022-03-16 23:54:15.047797 |
|---|---|
| Analysis finished | 2022-03-16 23:55:42.622456 |
| Duration | 1 minute and 27.57 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| Hotel | |
|---|---|
| Fancy Hotel |
Length
| Max length | 11 |
|---|---|
| Median length | 5 |
| Mean length | 7.013233939 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fancy Hotel |
|---|---|
| 2nd row | Fancy Hotel |
| 3rd row | Fancy Hotel |
| 4th row | Fancy Hotel |
| 5th row | Fancy Hotel |
Common Values
| Value | Count | Frequency (%) |
| Hotel | 79330 | |
| Fancy Hotel | 40060 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| hotel | 119390 | |
| fancy | 40060 | 25.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
cancellation
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 75166 | |
| 1 | 44224 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 75166 | |
| 1 | 44224 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 479 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 104.0114164 |
| Minimum | 0 |
|---|---|
| Maximum | 737 |
| Zeros | 6345 |
| Zeros (%) | 5.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 18 |
| median | 69 |
| Q3 | 160 |
| 95-th percentile | 320 |
| Maximum | 737 |
| Range | 737 |
| Interquartile range (IQR) | 142 |
Descriptive statistics
| Standard deviation | 106.863097 |
|---|---|
| Coefficient of variation (CV) | 1.027416997 |
| Kurtosis | 1.696448849 |
| Mean | 104.0114164 |
| Median Absolute Deviation (MAD) | 60 |
| Skewness | 1.346549873 |
| Sum | 12417923 |
| Variance | 11419.72151 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 6345 | 5.3% |
| 1 | 3460 | 2.9% |
| 2 | 2069 | 1.7% |
| 3 | 1816 | 1.5% |
| 4 | 1715 | 1.4% |
| 5 | 1565 | 1.3% |
| 6 | 1445 | 1.2% |
| 7 | 1331 | 1.1% |
| 8 | 1138 | 1.0% |
| 12 | 1079 | 0.9% |
| Other values (469) | 97427 |
| Value | Count | Frequency (%) |
| 0 | 6345 | |
| 1 | 3460 | |
| 2 | 2069 | 1.7% |
| 3 | 1816 | 1.5% |
| 4 | 1715 | 1.4% |
| 5 | 1565 | 1.3% |
| 6 | 1445 | 1.2% |
| 7 | 1331 | 1.1% |
| 8 | 1138 | 1.0% |
| 9 | 992 | 0.8% |
| Value | Count | Frequency (%) |
| 737 | 1 | < 0.1% |
| 709 | 1 | < 0.1% |
| 629 | 17 | |
| 626 | 30 | |
| 622 | 17 | |
| 615 | 17 | |
| 608 | 17 | |
| 605 | 30 | |
| 601 | 17 | |
| 594 | 17 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 2016 | |
|---|---|
| 2017 | |
| 2015 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2015 |
|---|---|
| 2nd row | 2015 |
| 3rd row | 2015 |
| 4th row | 2015 |
| 5th row | 2015 |
Common Values
| Value | Count | Frequency (%) |
| 2016 | 56707 | |
| 2017 | 40687 | |
| 2015 | 21996 | 18.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2016 | 56707 | |
| 2017 | 40687 | |
| 2015 | 21996 | 18.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| August | |
|---|---|
| July | |
| May | |
| October | |
| April | |
| Other values (7) |
Length
| Max length | 9 |
|---|---|
| Median length | 6 |
| Mean length | 5.903182846 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | July |
|---|---|
| 2nd row | July |
| 3rd row | July |
| 4th row | July |
| 5th row | July |
Common Values
| Value | Count | Frequency (%) |
| August | 13877 | |
| July | 12661 | |
| May | 11791 | |
| October | 11160 | |
| April | 11089 | |
| June | 10939 | |
| September | 10508 | |
| March | 9794 | |
| February | 8068 | |
| November | 6794 | |
| Other values (2) | 12709 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| august | 13877 | |
| july | 12661 | |
| may | 11791 | |
| october | 11160 | |
| april | 11089 | |
| june | 10939 | |
| september | 10508 | |
| march | 9794 | |
| february | 8068 | |
| november | 6794 | |
| Other values (2) | 12709 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 53 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.16517296 |
| Minimum | 1 |
|---|---|
| Maximum | 53 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 16 |
| median | 28 |
| Q3 | 38 |
| 95-th percentile | 49 |
| Maximum | 53 |
| Range | 52 |
| Interquartile range (IQR) | 22 |
Descriptive statistics
| Standard deviation | 13.60513836 |
|---|---|
| Coefficient of variation (CV) | 0.500830176 |
| Kurtosis | -0.9860771763 |
| Mean | 27.16517296 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | -0.01001432604 |
| Sum | 3243250 |
| Variance | 185.0997897 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 33 | 3580 | 3.0% |
| 30 | 3087 | 2.6% |
| 32 | 3045 | 2.6% |
| 34 | 3040 | 2.5% |
| 18 | 2926 | 2.5% |
| 21 | 2854 | 2.4% |
| 28 | 2853 | 2.4% |
| 17 | 2805 | 2.3% |
| 20 | 2785 | 2.3% |
| 29 | 2763 | 2.3% |
| Other values (43) | 89652 |
| Value | Count | Frequency (%) |
| 1 | 1047 | |
| 2 | 1218 | |
| 3 | 1319 | |
| 4 | 1487 | |
| 5 | 1387 | |
| 6 | 1508 | |
| 7 | 2109 | |
| 8 | 2216 | |
| 9 | 2117 | |
| 10 | 2149 |
| Value | Count | Frequency (%) |
| 53 | 1816 | |
| 52 | 1195 | |
| 51 | 933 | |
| 50 | 1505 | |
| 49 | 1782 | |
| 48 | 1504 | |
| 47 | 1685 | |
| 46 | 1574 | |
| 45 | 1941 | |
| 44 | 2272 |
day_of_month_arrival_date
Real number (ℝ≥0)
| Distinct | 31 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.79824106 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 16 |
| Q3 | 23 |
| 95-th percentile | 30 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.780829471 |
|---|---|
| Coefficient of variation (CV) | 0.5558105765 |
| Kurtosis | -1.187168319 |
| Mean | 15.79824106 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | -0.002000453979 |
| Sum | 1886152 |
| Variance | 77.10296619 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 17 | 4406 | 3.7% |
| 5 | 4317 | 3.6% |
| 15 | 4196 | 3.5% |
| 25 | 4160 | 3.5% |
| 26 | 4147 | 3.5% |
| 9 | 4096 | 3.4% |
| 12 | 4087 | 3.4% |
| 16 | 4078 | 3.4% |
| 2 | 4055 | 3.4% |
| 19 | 4052 | 3.4% |
| Other values (21) | 77796 |
| Value | Count | Frequency (%) |
| 1 | 3626 | |
| 2 | 4055 | |
| 3 | 3855 | |
| 4 | 3763 | |
| 5 | 4317 | |
| 6 | 3833 | |
| 7 | 3665 | |
| 8 | 3921 | |
| 9 | 4096 | |
| 10 | 3575 |
| Value | Count | Frequency (%) |
| 31 | 2208 | |
| 30 | 3853 | |
| 29 | 3580 | |
| 28 | 3946 | |
| 27 | 3802 | |
| 26 | 4147 | |
| 25 | 4160 | |
| 24 | 3993 | |
| 23 | 3616 | |
| 22 | 3596 |
| Distinct | 17 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9275986264 |
| Minimum | 0 |
|---|---|
| Maximum | 19 |
| Zeros | 51998 |
| Zeros (%) | 43.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 2 |
| Maximum | 19 |
| Range | 19 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 0.9986134946 |
|---|---|
| Coefficient of variation (CV) | 1.076557755 |
| Kurtosis | 7.174066064 |
| Mean | 0.9275986264 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.38004645 |
| Sum | 110746 |
| Variance | 0.9972289116 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 0 | 51998 | |
| 2 | 33308 | |
| 1 | 30626 | |
| 4 | 1855 | 1.6% |
| 3 | 1259 | 1.1% |
| 6 | 153 | 0.1% |
| 5 | 79 | 0.1% |
| 8 | 60 | 0.1% |
| 7 | 19 | < 0.1% |
| 9 | 11 | < 0.1% |
| Other values (7) | 22 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 51998 | |
| 1 | 30626 | |
| 2 | 33308 | |
| 3 | 1259 | 1.1% |
| 4 | 1855 | 1.6% |
| 5 | 79 | 0.1% |
| 6 | 153 | 0.1% |
| 7 | 19 | < 0.1% |
| 8 | 60 | 0.1% |
| 9 | 11 | < 0.1% |
| Value | Count | Frequency (%) |
| 19 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 16 | 3 | < 0.1% |
| 14 | 2 | < 0.1% |
| 13 | 3 | < 0.1% |
| 12 | 5 | < 0.1% |
| 10 | 7 | < 0.1% |
| 9 | 11 | < 0.1% |
| 8 | 60 | |
| 7 | 19 | < 0.1% |
| Distinct | 35 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.500301533 |
| Minimum | 0 |
|---|---|
| Maximum | 50 |
| Zeros | 7645 |
| Zeros (%) | 6.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 50 |
| Range | 50 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.908285615 |
|---|---|
| Coefficient of variation (CV) | 0.7632221914 |
| Kurtosis | 24.28455482 |
| Mean | 2.500301533 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.862249242 |
| Sum | 298511 |
| Variance | 3.641553989 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 2 | 33684 | |
| 1 | 30310 | |
| 3 | 22258 | |
| 5 | 11077 | 9.3% |
| 4 | 9563 | 8.0% |
| 0 | 7645 | 6.4% |
| 6 | 1499 | 1.3% |
| 10 | 1036 | 0.9% |
| 7 | 1029 | 0.9% |
| 8 | 656 | 0.5% |
| Other values (25) | 633 | 0.5% |
| Value | Count | Frequency (%) |
| 0 | 7645 | 6.4% |
| 1 | 30310 | |
| 2 | 33684 | |
| 3 | 22258 | |
| 4 | 9563 | 8.0% |
| 5 | 11077 | 9.3% |
| 6 | 1499 | 1.3% |
| 7 | 1029 | 0.9% |
| 8 | 656 | 0.5% |
| 9 | 231 | 0.2% |
| Value | Count | Frequency (%) |
| 50 | 1 | < 0.1% |
| 42 | 1 | < 0.1% |
| 41 | 1 | < 0.1% |
| 40 | 2 | < 0.1% |
| 35 | 1 | < 0.1% |
| 34 | 1 | < 0.1% |
| 33 | 1 | < 0.1% |
| 32 | 1 | < 0.1% |
| 30 | 5 | |
| 26 | 1 | < 0.1% |
num_adults
Real number (ℝ≥0)
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.856403384 |
| Minimum | 0 |
|---|---|
| Maximum | 55 |
| Zeros | 403 |
| Zeros (%) | 0.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 55 |
| Range | 55 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.5792609988 |
|---|---|
| Coefficient of variation (CV) | 0.3120340137 |
| Kurtosis | 1352.115116 |
| Mean | 1.856403384 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 18.31780476 |
| Sum | 221636 |
| Variance | 0.3355433048 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 2 | 89680 | |
| 1 | 23027 | 19.3% |
| 3 | 6202 | 5.2% |
| 0 | 403 | 0.3% |
| 4 | 62 | 0.1% |
| 26 | 5 | < 0.1% |
| 27 | 2 | < 0.1% |
| 20 | 2 | < 0.1% |
| 5 | 2 | < 0.1% |
| 55 | 1 | < 0.1% |
| Other values (4) | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 403 | 0.3% |
| 1 | 23027 | 19.3% |
| 2 | 89680 | |
| 3 | 6202 | 5.2% |
| 4 | 62 | 0.1% |
| 5 | 2 | < 0.1% |
| 6 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 26 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 55 | 1 | < 0.1% |
| 50 | 1 | < 0.1% |
| 40 | 1 | < 0.1% |
| 27 | 2 | < 0.1% |
| 26 | 5 | < 0.1% |
| 20 | 2 | < 0.1% |
| 10 | 1 | < 0.1% |
| 6 | 1 | < 0.1% |
| 5 | 2 | < 0.1% |
| 4 | 62 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 4 |
| Missing (%) | < 0.1% |
| Memory size | 932.9 KiB |
| 0.0 | |
|---|---|
| 1.0 | 4861 |
| 2.0 | 3652 |
| 3.0 | 76 |
| 10.0 | 1 |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 3.000008376 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 110796 | |
| 1.0 | 4861 | 4.1% |
| 2.0 | 3652 | 3.1% |
| 3.0 | 76 | 0.1% |
| 10.0 | 1 | < 0.1% |
| (Missing) | 4 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 110796 | |
| 1.0 | 4861 | 4.1% |
| 2.0 | 3652 | 3.1% |
| 3.0 | 76 | 0.1% |
| 10.0 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
num_babies
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 0 | |
|---|---|
| 1 | 900 |
| 2 | 15 |
| 9 | 1 |
| 10 | 1 |
Length
| Max length | 2 |
|---|---|
| Median length | 1 |
| Mean length | 1.000008376 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 118473 | |
| 1 | 900 | 0.8% |
| 2 | 15 | < 0.1% |
| 9 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 118473 | |
| 1 | 900 | 0.8% |
| 2 | 15 | < 0.1% |
| 10 | 1 | < 0.1% |
| 9 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
breakfast
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 116.7 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 92310 | |
| False | 27080 | 22.7% |
| Distinct | 177 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 488 |
| Missing (%) | 0.4% |
| Memory size | 932.9 KiB |
| PRT | |
|---|---|
| GBR | |
| FRA | |
| ESP | |
| DEU | |
| Other values (172) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.989243242 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 30 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | PRT |
|---|---|
| 2nd row | PRT |
| 3rd row | GBR |
| 4th row | GBR |
| 5th row | GBR |
Common Values
| Value | Count | Frequency (%) |
| PRT | 48590 | |
| GBR | 12129 | 10.2% |
| FRA | 10415 | 8.7% |
| ESP | 8568 | 7.2% |
| DEU | 7287 | 6.1% |
| ITA | 3766 | 3.2% |
| IRL | 3375 | 2.8% |
| BEL | 2342 | 2.0% |
| BRA | 2224 | 1.9% |
| NLD | 2104 | 1.8% |
| Other values (167) | 18102 | 15.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| prt | 48590 | |
| gbr | 12129 | 10.2% |
| fra | 10415 | 8.8% |
| esp | 8568 | 7.2% |
| deu | 7287 | 6.1% |
| ita | 3766 | 3.2% |
| irl | 3375 | 2.8% |
| bel | 2342 | 2.0% |
| bra | 2224 | 1.9% |
| nld | 2104 | 1.8% |
| Other values (167) | 18102 | 15.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.467576849 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 12606 |
| Zeros (%) | 10.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.420967068 |
|---|---|
| Coefficient of variation (CV) | 0.5758552439 |
| Kurtosis | -0.09120561313 |
| Mean | 2.467576849 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.403801563 |
| Sum | 294604 |
| Variance | 2.019147409 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 56477 | |
| 3 | 24219 | |
| 5 | 19811 | 16.6% |
| 0 | 12606 | 10.6% |
| 1 | 5295 | 4.4% |
| 4 | 743 | 0.6% |
| 7 | 237 | 0.2% |
| 6 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 12606 | 10.6% |
| 1 | 5295 | 4.4% |
| 2 | 56477 | |
| 3 | 24219 | |
| 4 | 743 | 0.6% |
| 5 | 19811 | 16.6% |
| 6 | 2 | < 0.1% |
| 7 | 237 | 0.2% |
| Value | Count | Frequency (%) |
| 7 | 237 | 0.2% |
| 6 | 2 | < 0.1% |
| 5 | 19811 | 16.6% |
| 4 | 743 | 0.6% |
| 3 | 24219 | |
| 2 | 56477 | |
| 1 | 5295 | 4.4% |
| 0 | 12606 | 10.6% |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 2 | |
|---|---|
| 0 | |
| 1 | 6677 |
| 4 | 193 |
| 3 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 97870 | |
| 0 | 14645 | 12.3% |
| 1 | 6677 | 5.6% |
| 4 | 193 | 0.2% |
| 3 | 5 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 97870 | |
| 0 | 14645 | 12.3% |
| 1 | 6677 | 5.6% |
| 4 | 193 | 0.2% |
| 3 | 5 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 0 | |
|---|---|
| 1 | 3810 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 115580 | |
| 1 | 3810 | 3.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 115580 | |
| 1 | 3810 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 15 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.08711784907 |
| Minimum | 0 |
|---|---|
| Maximum | 26 |
| Zeros | 112906 |
| Zeros (%) | 94.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8443363842 |
|---|---|
| Coefficient of variation (CV) | 9.691887405 |
| Kurtosis | 674.0736926 |
| Mean | 0.08711784907 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 24.45804872 |
| Sum | 10401 |
| Variance | 0.7129039296 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 0 | 112906 | |
| 1 | 6051 | 5.1% |
| 2 | 116 | 0.1% |
| 3 | 65 | 0.1% |
| 24 | 48 | < 0.1% |
| 11 | 35 | < 0.1% |
| 4 | 31 | < 0.1% |
| 26 | 26 | < 0.1% |
| 25 | 25 | < 0.1% |
| 6 | 22 | < 0.1% |
| Other values (5) | 65 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 112906 | |
| 1 | 6051 | 5.1% |
| 2 | 116 | 0.1% |
| 3 | 65 | 0.1% |
| 4 | 31 | < 0.1% |
| 5 | 19 | < 0.1% |
| 6 | 22 | < 0.1% |
| 11 | 35 | < 0.1% |
| 13 | 12 | < 0.1% |
| 14 | 14 | < 0.1% |
| Value | Count | Frequency (%) |
| 26 | 26 | |
| 25 | 25 | |
| 24 | 48 | |
| 21 | 1 | < 0.1% |
| 19 | 19 | < 0.1% |
| 14 | 14 | < 0.1% |
| 13 | 12 | < 0.1% |
| 11 | 35 | |
| 6 | 22 | |
| 5 | 19 | < 0.1% |
| Distinct | 73 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1370969093 |
| Minimum | 0 |
|---|---|
| Maximum | 72 |
| Zeros | 115770 |
| Zeros (%) | 97.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 72 |
| Range | 72 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.497436848 |
|---|---|
| Coefficient of variation (CV) | 10.92246977 |
| Kurtosis | 767.2452097 |
| Mean | 0.1370969093 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 23.53979995 |
| Sum | 16368 |
| Variance | 2.242317113 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 115770 | |
| 1 | 1542 | 1.3% |
| 2 | 580 | 0.5% |
| 3 | 333 | 0.3% |
| 4 | 229 | 0.2% |
| 5 | 181 | 0.2% |
| 6 | 115 | 0.1% |
| 7 | 88 | 0.1% |
| 8 | 70 | 0.1% |
| 9 | 60 | 0.1% |
| Other values (63) | 422 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 115770 | |
| 1 | 1542 | 1.3% |
| 2 | 580 | 0.5% |
| 3 | 333 | 0.3% |
| 4 | 229 | 0.2% |
| 5 | 181 | 0.2% |
| 6 | 115 | 0.1% |
| 7 | 88 | 0.1% |
| 8 | 70 | 0.1% |
| 9 | 60 | 0.1% |
| Value | Count | Frequency (%) |
| 72 | 1 | |
| 71 | 1 | |
| 70 | 1 | |
| 69 | 1 | |
| 68 | 1 | |
| 67 | 1 | |
| 66 | 1 | |
| 65 | 1 | |
| 64 | 1 | |
| 63 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| A | |
|---|---|
| D | |
| E | 6535 |
| F | 2897 |
| G | 2094 |
| Other values (5) | 2669 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | C |
|---|---|
| 2nd row | C |
| 3rd row | A |
| 4th row | A |
| 5th row | A |
Common Values
| Value | Count | Frequency (%) |
| A | 85994 | |
| D | 19201 | 16.1% |
| E | 6535 | 5.5% |
| F | 2897 | 2.4% |
| G | 2094 | 1.8% |
| B | 1118 | 0.9% |
| C | 932 | 0.8% |
| H | 601 | 0.5% |
| P | 12 | < 0.1% |
| L | 6 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| a | 85994 | |
| d | 19201 | 16.1% |
| e | 6535 | 5.5% |
| f | 2897 | 2.4% |
| g | 2094 | 1.8% |
| b | 1118 | 0.9% |
| c | 932 | 0.8% |
| h | 601 | 0.5% |
| p | 12 | < 0.1% |
| l | 6 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 21 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2211240472 |
| Minimum | 0 |
|---|---|
| Maximum | 21 |
| Zeros | 101314 |
| Zeros (%) | 84.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 21 |
| Range | 21 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6523055727 |
|---|---|
| Coefficient of variation (CV) | 2.949953118 |
| Kurtosis | 79.39360467 |
| Mean | 0.2211240472 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.000270054 |
| Sum | 26400 |
| Variance | 0.4255025601 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 101314 | |
| 1 | 12701 | 10.6% |
| 2 | 3805 | 3.2% |
| 3 | 927 | 0.8% |
| 4 | 376 | 0.3% |
| 5 | 118 | 0.1% |
| 6 | 63 | 0.1% |
| 7 | 31 | < 0.1% |
| 8 | 17 | < 0.1% |
| 9 | 8 | < 0.1% |
| Other values (11) | 30 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 101314 | |
| 1 | 12701 | 10.6% |
| 2 | 3805 | 3.2% |
| 3 | 927 | 0.8% |
| 4 | 376 | 0.3% |
| 5 | 118 | 0.1% |
| 6 | 63 | 0.1% |
| 7 | 31 | < 0.1% |
| 8 | 17 | < 0.1% |
| 9 | 8 | < 0.1% |
| Value | Count | Frequency (%) |
| 21 | 1 | < 0.1% |
| 20 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 2 | < 0.1% |
| 16 | 2 | < 0.1% |
| 15 | 3 | |
| 14 | 5 | |
| 13 | 5 | |
| 12 | 2 | < 0.1% |
| 11 | 2 | < 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| No Deposit | |
|---|---|
| Non Refund | |
| Refundable | 162 |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | No Deposit |
|---|---|
| 2nd row | No Deposit |
| 3rd row | No Deposit |
| 4th row | No Deposit |
| 5th row | No Deposit |
Common Values
| Value | Count | Frequency (%) |
| No Deposit | 104641 | |
| Non Refund | 14587 | 12.2% |
| Refundable | 162 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| deposit | 104641 | |
| no | 104641 | |
| refund | 14587 | 6.1% |
| non | 14587 | 6.1% |
| refundable | 162 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 333 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 16340 |
| Missing (%) | 13.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 86.69338185 |
| Minimum | 1 |
|---|---|
| Maximum | 535 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 9 |
| median | 14 |
| Q3 | 229 |
| 95-th percentile | 250 |
| Maximum | 535 |
| Range | 534 |
| Interquartile range (IQR) | 220 |
Descriptive statistics
| Standard deviation | 110.7745476 |
|---|---|
| Coefficient of variation (CV) | 1.277773981 |
| Kurtosis | -0.007179564938 |
| Mean | 86.69338185 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.089385636 |
| Sum | 8933753 |
| Variance | 12271.00041 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9 | 31961 | |
| 240 | 13922 | |
| 1 | 7191 | 6.0% |
| 14 | 3640 | 3.0% |
| 7 | 3539 | 3.0% |
| 6 | 3290 | 2.8% |
| 250 | 2870 | 2.4% |
| 241 | 1721 | 1.4% |
| 28 | 1666 | 1.4% |
| 8 | 1514 | 1.3% |
| Other values (323) | 31736 | |
| (Missing) | 16340 |
| Value | Count | Frequency (%) |
| 1 | 7191 | 6.0% |
| 2 | 162 | 0.1% |
| 3 | 1336 | 1.1% |
| 4 | 47 | < 0.1% |
| 5 | 330 | 0.3% |
| 6 | 3290 | 2.8% |
| 7 | 3539 | 3.0% |
| 8 | 1514 | 1.3% |
| 9 | 31961 | |
| 10 | 260 | 0.2% |
| Value | Count | Frequency (%) |
| 535 | 3 | < 0.1% |
| 531 | 68 | |
| 527 | 35 | |
| 526 | 10 | < 0.1% |
| 510 | 2 | < 0.1% |
| 509 | 10 | < 0.1% |
| 508 | 6 | < 0.1% |
| 502 | 24 | < 0.1% |
| 497 | 1 | < 0.1% |
| 495 | 57 |
| Distinct | 352 |
|---|---|
| Distinct (%) | 5.2% |
| Missing | 112593 |
| Missing (%) | 94.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 189.2667353 |
| Minimum | 6 |
|---|---|
| Maximum | 543 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 40 |
| Q1 | 62 |
| median | 179 |
| Q3 | 270 |
| 95-th percentile | 435 |
| Maximum | 543 |
| Range | 537 |
| Interquartile range (IQR) | 208 |
Descriptive statistics
| Standard deviation | 131.6550146 |
|---|---|
| Coefficient of variation (CV) | 0.6956056721 |
| Kurtosis | -0.4907952103 |
| Mean | 189.2667353 |
| Median Absolute Deviation (MAD) | 111 |
| Skewness | 0.6015996673 |
| Sum | 1286446 |
| Variance | 17333.04288 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 40 | 927 | 0.8% |
| 223 | 784 | 0.7% |
| 67 | 267 | 0.2% |
| 45 | 250 | 0.2% |
| 153 | 215 | 0.2% |
| 174 | 149 | 0.1% |
| 219 | 141 | 0.1% |
| 281 | 138 | 0.1% |
| 154 | 133 | 0.1% |
| 405 | 119 | 0.1% |
| Other values (342) | 3674 | 3.1% |
| (Missing) | 112593 |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 8 | 1 | < 0.1% |
| 9 | 37 | |
| 10 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| 12 | 14 | < 0.1% |
| 14 | 9 | < 0.1% |
| 16 | 5 | < 0.1% |
| 18 | 1 | < 0.1% |
| 20 | 50 |
| Value | Count | Frequency (%) |
| 543 | 2 | < 0.1% |
| 541 | 1 | < 0.1% |
| 539 | 2 | < 0.1% |
| 534 | 2 | < 0.1% |
| 531 | 1 | < 0.1% |
| 530 | 5 | < 0.1% |
| 528 | 2 | < 0.1% |
| 525 | 15 | |
| 523 | 19 | |
| 521 | 7 | < 0.1% |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 0 | |
|---|---|
| 2 | |
| 1 | 4076 |
| 3 | 577 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 89613 | |
| 2 | 25124 | 21.0% |
| 1 | 4076 | 3.4% |
| 3 | 577 | 0.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 89613 | |
| 2 | 25124 | 21.0% |
| 1 | 4076 | 3.4% |
| 3 | 577 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 8726 |
|---|---|
| Distinct (%) | 7.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.7187443 |
| Minimum | 0 |
|---|---|
| Maximum | 300 |
| Zeros | 1960 |
| Zeros (%) | 1.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 38.4 |
| Q1 | 69.29 |
| median | 94.575 |
| Q3 | 126 |
| 95-th percentile | 193.5 |
| Maximum | 300 |
| Range | 300 |
| Interquartile range (IQR) | 56.71 |
Descriptive statistics
| Standard deviation | 47.8237708 |
|---|---|
| Coefficient of variation (CV) | 0.4701569129 |
| Kurtosis | 1.597201678 |
| Mean | 101.7187443 |
| Median Absolute Deviation (MAD) | 27.825 |
| Skewness | 0.9413424229 |
| Sum | 12144200.88 |
| Variance | 2287.113054 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 62 | 3754 | 3.1% |
| 75 | 2715 | 2.3% |
| 90 | 2473 | 2.1% |
| 65 | 2418 | 2.0% |
| 0 | 1960 | 1.6% |
| 80 | 1889 | 1.6% |
| 95 | 1661 | 1.4% |
| 120 | 1607 | 1.3% |
| 100 | 1573 | 1.3% |
| 85 | 1538 | 1.3% |
| Other values (8716) | 97802 |
| Value | Count | Frequency (%) |
| 0 | 1960 | |
| 0.26 | 1 | < 0.1% |
| 0.5 | 1 | < 0.1% |
| 1 | 15 | < 0.1% |
| 1.29 | 1 | < 0.1% |
| 1.48 | 1 | < 0.1% |
| 1.56 | 2 | < 0.1% |
| 1.6 | 1 | < 0.1% |
| 1.8 | 1 | < 0.1% |
| 2 | 12 | < 0.1% |
| Value | Count | Frequency (%) |
| 300 | 290 | |
| 299.43 | 1 | < 0.1% |
| 299.33 | 2 | < 0.1% |
| 299.2 | 1 | < 0.1% |
| 299 | 10 | < 0.1% |
| 298.71 | 1 | < 0.1% |
| 298 | 5 | < 0.1% |
| 297.57 | 1 | < 0.1% |
| 297.5 | 1 | < 0.1% |
| 297.38 | 1 | < 0.1% |
required_car_parking_spaces
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 932.9 KiB |
| 0 | |
|---|---|
| 1 | 7383 |
| 2 | 28 |
| 3 | 3 |
| 8 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 111974 | |
| 1 | 7383 | 6.2% |
| 2 | 28 | < 0.1% |
| 3 | 3 | < 0.1% |
| 8 | 2 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 111974 | |
| 1 | 7383 | 6.2% |
| 2 | 28 | < 0.1% |
| 3 | 3 | < 0.1% |
| 8 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5713627607 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 70318 |
| Zeros (%) | 58.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 932.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 2 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.7927984228 |
|---|---|
| Coefficient of variation (CV) | 1.387557043 |
| Kurtosis | 1.492564811 |
| Mean | 0.5713627607 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.349189377 |
| Sum | 68215 |
| Variance | 0.6285293392 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 70318 | |
| 1 | 33226 | |
| 2 | 12969 | 10.9% |
| 3 | 2497 | 2.1% |
| 4 | 340 | 0.3% |
| 5 | 40 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 70318 | |
| 1 | 33226 | |
| 2 | 12969 | 10.9% |
| 3 | 2497 | 2.1% |
| 4 | 340 | 0.3% |
| 5 | 40 | < 0.1% |
| Value | Count | Frequency (%) |
| 5 | 40 | < 0.1% |
| 4 | 340 | 0.3% |
| 3 | 2497 | 2.1% |
| 2 | 12969 | 10.9% |
| 1 | 33226 | |
| 0 | 70318 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| type | cancellation | days_between_booking_arrival | year_arrival_date | month_arrival_date | week_number_arrival_date | day_of_month_arrival_date | num_weekend_nights | num_workweek_nights | num_adults | num_children | num_babies | breakfast | country | market_segment | distribution_channel | repeated_guest | num_previous_cancellations | num_previous_stays | reserved_room | changes_between_booking_arrival | deposit_policy | id_travel_agency_booking | id_person_booking | customer_type | avg_price | required_car_parking_spaces | total_of_special_requests | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Fancy Hotel | 0 | 342 | 2015 | July | 27 | 1 | 0 | 0 | 2 | 0.0 | 0 | True | PRT | 0 | 0 | 0 | 0 | 0 | C | 3 | No Deposit | NaN | NaN | 0 | 0.0 | 0 | 0 |
| 1 | Fancy Hotel | 0 | 737 | 2015 | July | 27 | 1 | 0 | 0 | 2 | 0.0 | 0 | True | PRT | 0 | 0 | 0 | 0 | 0 | C | 4 | No Deposit | NaN | NaN | 0 | 0.0 | 0 | 0 |
| 2 | Fancy Hotel | 0 | 7 | 2015 | July | 27 | 1 | 0 | 1 | 1 | 0.0 | 0 | True | GBR | 0 | 0 | 0 | 0 | 0 | A | 0 | No Deposit | NaN | NaN | 0 | 75.0 | 0 | 0 |
| 3 | Fancy Hotel | 0 | 13 | 2015 | July | 27 | 1 | 0 | 1 | 1 | 0.0 | 0 | True | GBR | 1 | 1 | 0 | 0 | 0 | A | 0 | No Deposit | 304.0 | NaN | 0 | 75.0 | 0 | 0 |
| 4 | Fancy Hotel | 0 | 14 | 2015 | July | 27 | 1 | 0 | 2 | 2 | 0.0 | 0 | True | GBR | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 240.0 | NaN | 0 | 98.0 | 0 | 1 |
| 5 | Fancy Hotel | 0 | 14 | 2015 | July | 27 | 1 | 0 | 2 | 2 | 0.0 | 0 | True | GBR | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 240.0 | NaN | 0 | 98.0 | 0 | 1 |
| 6 | Fancy Hotel | 0 | 0 | 2015 | July | 27 | 1 | 0 | 2 | 2 | 0.0 | 0 | True | PRT | 0 | 0 | 0 | 0 | 0 | C | 0 | No Deposit | NaN | NaN | 0 | 107.0 | 0 | 0 |
| 7 | Fancy Hotel | 0 | 9 | 2015 | July | 27 | 1 | 0 | 2 | 2 | 0.0 | 0 | False | PRT | 0 | 0 | 0 | 0 | 0 | C | 0 | No Deposit | 303.0 | NaN | 0 | 103.0 | 0 | 1 |
| 8 | Fancy Hotel | 1 | 85 | 2015 | July | 27 | 1 | 0 | 3 | 2 | 0.0 | 0 | True | PRT | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 240.0 | NaN | 0 | 82.0 | 0 | 1 |
| 9 | Fancy Hotel | 1 | 75 | 2015 | July | 27 | 1 | 0 | 3 | 2 | 0.0 | 0 | False | PRT | 3 | 2 | 0 | 0 | 0 | D | 0 | No Deposit | 15.0 | NaN | 0 | 105.5 | 0 | 0 |
Last rows
| type | cancellation | days_between_booking_arrival | year_arrival_date | month_arrival_date | week_number_arrival_date | day_of_month_arrival_date | num_weekend_nights | num_workweek_nights | num_adults | num_children | num_babies | breakfast | country | market_segment | distribution_channel | repeated_guest | num_previous_cancellations | num_previous_stays | reserved_room | changes_between_booking_arrival | deposit_policy | id_travel_agency_booking | id_person_booking | customer_type | avg_price | required_car_parking_spaces | total_of_special_requests | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 119380 | Hotel | 0 | 44 | 2017 | August | 35 | 31 | 1 | 3 | 2 | 0.0 | 0 | False | DEU | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 9.0 | NaN | 0 | 140.75 | 0 | 1 |
| 119381 | Hotel | 0 | 188 | 2017 | August | 35 | 31 | 2 | 3 | 2 | 0.0 | 0 | True | DEU | 0 | 0 | 0 | 0 | 0 | A | 0 | No Deposit | 14.0 | NaN | 0 | 99.00 | 0 | 0 |
| 119382 | Hotel | 0 | 135 | 2017 | August | 35 | 30 | 2 | 4 | 3 | 0.0 | 0 | True | JPN | 2 | 2 | 0 | 0 | 0 | G | 0 | No Deposit | 7.0 | NaN | 0 | 209.00 | 0 | 0 |
| 119383 | Hotel | 0 | 164 | 2017 | August | 35 | 31 | 2 | 4 | 2 | 0.0 | 0 | True | DEU | 3 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 42.0 | NaN | 0 | 87.60 | 0 | 0 |
| 119384 | Hotel | 0 | 21 | 2017 | August | 35 | 30 | 2 | 5 | 2 | 0.0 | 0 | True | BEL | 3 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 394.0 | NaN | 0 | 96.14 | 0 | 2 |
| 119385 | Hotel | 0 | 23 | 2017 | August | 35 | 30 | 2 | 5 | 2 | 0.0 | 0 | True | BEL | 3 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 394.0 | NaN | 0 | 96.14 | 0 | 0 |
| 119386 | Hotel | 0 | 102 | 2017 | August | 35 | 31 | 2 | 5 | 3 | 0.0 | 0 | True | FRA | 2 | 2 | 0 | 0 | 0 | E | 0 | No Deposit | 9.0 | NaN | 0 | 225.43 | 0 | 2 |
| 119387 | Hotel | 0 | 34 | 2017 | August | 35 | 31 | 2 | 5 | 2 | 0.0 | 0 | True | DEU | 2 | 2 | 0 | 0 | 0 | D | 0 | No Deposit | 9.0 | NaN | 0 | 157.71 | 0 | 4 |
| 119388 | Hotel | 0 | 109 | 2017 | August | 35 | 31 | 2 | 5 | 2 | 0.0 | 0 | True | GBR | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 89.0 | NaN | 0 | 104.40 | 0 | 0 |
| 119389 | Hotel | 0 | 205 | 2017 | August | 35 | 29 | 2 | 7 | 2 | 0.0 | 0 | False | DEU | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 9.0 | NaN | 0 | 151.20 | 0 | 2 |
Most frequently occurring
| type | cancellation | days_between_booking_arrival | year_arrival_date | month_arrival_date | week_number_arrival_date | day_of_month_arrival_date | num_weekend_nights | num_workweek_nights | num_adults | num_children | num_babies | breakfast | country | market_segment | distribution_channel | repeated_guest | num_previous_cancellations | num_previous_stays | reserved_room | changes_between_booking_arrival | deposit_policy | id_travel_agency_booking | id_person_booking | customer_type | avg_price | required_car_parking_spaces | total_of_special_requests | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | Hotel | 0 | 256 | 2016 | October | 43 | 16 | 2 | 3 | 2 | 0.0 | 0 | True | DEU | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 9.0 | 333.0 | 2 | 100.75 | 0 | 0 | 7 |
| 2 | Fancy Hotel | 0 | 24 | 2015 | November | 45 | 3 | 3 | 10 | 1 | 0.0 | 0 | True | FRA | 1 | 1 | 0 | 0 | 0 | A | 2 | No Deposit | 334.0 | 281.0 | 2 | 40.00 | 0 | 0 | 6 |
| 14 | Fancy Hotel | 0 | 36 | 2015 | November | 45 | 7 | 2 | 6 | 1 | 0.0 | 0 | True | DEU | 1 | 1 | 0 | 0 | 0 | A | 1 | No Deposit | 185.0 | 281.0 | 2 | 36.00 | 0 | 0 | 4 |
| 13 | Fancy Hotel | 0 | 36 | 2015 | November | 45 | 7 | 2 | 6 | 1 | 0.0 | 0 | True | AUT | 1 | 1 | 0 | 0 | 0 | A | 1 | No Deposit | 185.0 | 281.0 | 2 | 36.00 | 0 | 0 | 3 |
| 0 | Fancy Hotel | 0 | 5 | 2017 | January | 1 | 2 | 1 | 3 | 1 | 0.0 | 0 | True | PRT | 2 | 2 | 0 | 0 | 0 | A | 0 | No Deposit | 314.0 | 29.0 | 2 | 40.40 | 1 | 1 | 2 |
| 1 | Fancy Hotel | 0 | 17 | 2015 | November | 46 | 8 | 2 | 5 | 2 | 0.0 | 0 | True | FRA | 1 | 1 | 0 | 0 | 0 | A | 1 | No Deposit | 334.0 | 281.0 | 2 | 48.00 | 0 | 0 | 2 |
| 3 | Fancy Hotel | 0 | 24 | 2015 | November | 45 | 3 | 3 | 10 | 2 | 0.0 | 0 | True | ITA | 1 | 1 | 0 | 0 | 0 | A | 1 | No Deposit | 326.0 | 281.0 | 0 | 48.00 | 0 | 0 | 2 |
| 4 | Fancy Hotel | 0 | 24 | 2015 | October | 44 | 26 | 7 | 15 | 1 | 0.0 | 0 | True | AUT | 1 | 1 | 0 | 0 | 0 | E | 2 | No Deposit | 185.0 | 281.0 | 2 | 52.20 | 0 | 0 | 2 |
| 5 | Fancy Hotel | 0 | 27 | 2015 | November | 45 | 6 | 2 | 7 | 1 | 0.0 | 0 | True | FRA | 1 | 1 | 0 | 0 | 0 | A | 1 | No Deposit | 334.0 | 281.0 | 2 | 40.00 | 0 | 0 | 2 |
| 6 | Fancy Hotel | 0 | 31 | 2015 | November | 45 | 2 | 3 | 10 | 1 | 0.0 | 0 | True | AUT | 1 | 1 | 0 | 0 | 0 | A | 2 | No Deposit | 185.0 | 281.0 | 2 | 36.00 | 0 | 0 | 2 |